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ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 7 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
ICML
2004
IEEE
15 years 10 months ago
The multiple multiplicative factor model for collaborative filtering
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
Benjamin M. Marlin, Richard S. Zemel
AAAI
2008
15 years 4 days ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
DKE
1999
110views more  DKE 1999»
14 years 9 months ago
Making Multiple Views Self-Maintainable in a Data Warehouse
A data warehouse collects and maintains a large amount of data from several distributed and heterogeneous data sources. Often the data is stored in the form of materialized views ...
Weifa Liang, Hui Li, Hui Wang, Maria E. Orlowska
NIPS
1997
14 years 11 months ago
A Framework for Multiple-Instance Learning
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
Oded Maron, Tomás Lozano-Pérez